8 citations · 8 across the 5 of their papers we have counts for
5 papers
Global-Local Feature Decoding with Adapter-Guided SAMv2 for Salient Object Detection
Morteza Moradi, Mohammad Moradi, Simone Palazzo +2
Salient Object Detection (SOD) remains an essential yet underexplored task in the era of large-scale vision models. Although foundation models like SAM exhibit strong generalizatio…
Brain-Grasp: Graph-based Saliency Priors for Improved fMRI-based Visual Brain Decoding
Mohammad Moradi, Morteza Moradi, Marco Grassia +1
Recent progress in brain-guided image generation has improved the quality of fMRI-based reconstructions; however, fundamental challenges remain in preserving object-level structure…
AIM 2024 Challenge on Video Saliency Prediction: Methods and Results
Andrey Moskalenko, Alexey Bryncev, Dmitry Vatolin +30
This paper reviews the Challenge on Video Saliency Prediction at AIM 2024. The goal of the participants was to develop a method for predicting accurate saliency maps for the provid…
SalFoM: Dynamic Saliency Prediction with Video Foundation Models
Morteza Moradi, Mohammad Moradi, Francesco Rundo +3
Recent advancements in video saliency prediction (VSP) have shown promising performance compared to the human visual system, whose emulation is the primary goal of VSP. However, cu…
Transformer-based Video Saliency Prediction with High Temporal Dimension Decoding
Morteza Moradi, Simone Palazzo, Concetto Spampinato
In recent years, finding an effective and efficient strategy for exploiting spatial and temporal information has been a hot research topic in video saliency prediction (VSP). With…